Bapatla Engineering College
Bapatla Engineering College
Surendra Kumar P.,Bapatla Engineering College |
Chandra Mohan B.,Bapatla Engineering College
2016 IEEE Annual India Conference, INDICON 2016 | Year: 2016
The scope of this research paper is to present a new configuration of the dual frequency microstrip patch antenna for wireless local area network WLAN (5.15-5.35) GHz and Worldwide Interoperability for Microwave Access WiMAX (3.4-3.9) GHz applications. The proposed dual-frequency rectangular microstrip antenna with the vertex-fed pentagonal slot is resonates at 3.5 GHz and 5.15 GHz. The antenna performance parameters at 3.5 GHz are the magnitude of the reflection coefficient, VSWR, input impedance, gain and radiation efficiency are found to be 19.12 dB, 1.25, 40.15Ω, 5.6 dBi and 62.42% respectively. While at 5.15 GHz they are found to be 25.28 dB, 1.11, 49.55Ω, 4.55dBi and 63.61% respectively. The proposed antenna achieved an average gain of 5.08 dBi. The stable radiation pattern is observed in both operating frequencies. The performance of proposed antenna is compared with the existing dual-band designs available in the literature. © 2016 IEEE.
Prasad N.S.,Bapatla Engineering College
International Review on Computers and Software | Year: 2014
The most widely used document representation model is the Vector Space Model. Higher dimensions and sparseness of the representation model leads to poor clustering performance, demanding more computational effort for clustering. Hence, dimension reduction techniques are used to find a feature subspace for document representation that could enhance clustering performance. This paper proposes a novel unsupervised filter method for feature selection. Feature selection methods represent documents using a subset of the original feature set that maximizes the separation among classes of documents in the collection. Filter methods analyze the intrinsic properties of the documents and they select highly-ranked features according to some criterion, quite different to clustering task. Unsupervised feature selection methods do not use class labels to guide the selection of features. The proposed method assigns a score to a term using its collection and document frequencies. Number of times and number of documents in which a term appears in a document collection are called respectively collection frequency and document frequency of the term. Empirical evaluations proved that the proposed method is not only effective in selecting features giving best clustering performance, but also less computationally complex, when compared to other unsupervised feature selection methods. © 2014 Praise Worthy Prize S.r.l. - All rights reserved.
Abdul Gafoor S.,Bapatla Engineering College
International Journal of Electrical Power and Energy Systems | Year: 2011
This paper deals with application of Wavelet Transform for detection of busbar faults and to discriminate them from external faults. The fault indexes of differential current and that of a source CT current are obtained over narrow moving windows based on their respective detail coefficients. The fault indexes of both current signals obtained are compared with their respective threshold values to detect the internal faults. The time shift of differential current detail coefficients compared to those of source current due to saturation of CT is used to discriminate the external faults from internal faults. The scheme is tested successfully for different types of external and internal faults. © 2011 Elsevier Ltd. All rights reserved.
Seshagiri Rao N.,Vignans Lara Institute of Technology and Science |
Acharyulu K.V.L.N.,University of the Humanities |
Kalyani K.,Bapatla Engineering College
ARPN Journal of Engineering and Applied Sciences | Year: 2015
This paper focuses on phase plane diagrams for two species ecological model comprising a mortal commensal and the host species with a constant harvesting of the commensal species. This model is characterized by a couple of first order non-linear ordinary differential equations. The possible three existing equilibrium points of the system are identified and the nature of the ecological interaction between the species is discussed based on the equilibrium points of the model equations through the phase plane diagrams for specific values to the parameters in the model equations. © 2006-2015 Asian Research Publishing Network (ARPN).
Nancharaiah B.,NRI Institute of Technology |
Chandra Mohan B.,Bapatla Engineering College
International Review on Computers and Software | Year: 2013
A mobile adhoc network (MANET) is a collection of wireless nodes without any central administrator. Because of the mobility of the network, a routing protocol is required to adopt the frequent changes in the network topology. A Quality of Service (QoS) protocol that supports real-time applications is adopted in MANETS to a feasible path that satisfies QoS constraints. The most important phase of the QoS routing protocol is route discovery phase, in which the heuristic search algorithm is required to search their route cache for the availability of routes to destination. With no recent research in this field, there is a need of optimization algorithm, such as Cuckoo Search Algorithm (CSA). In this work, we propose an approach that uses CSA to find the feasible paths in the route discovery of MANET using QoS protocol. The proposed algorithm is superior compared to an existing algorithm in which Ant Colony Optimization (ACO) with particle swarm optimization (PSO) is used. The proposed QoS routing protocol performs better compared to PSO hybrid with ACO algorithm in terms of throughput, packet delivery, end-to-end delay and efficiency. © 2013 Praise Worthy Prize S.r.l. - All rights reserved.
Nancharaiah B.,Andhra University |
Chandra Mohan B.,Bapatla Engineering College
Computers and Electrical Engineering | Year: 2014
End-to-end delay, power consumption, and communication cost are some of the most important metrics in a mobile ad hoc network (MANET) when routing from a source to a destination. Recent approaches using the swarm intelligence (SI) technique proved that the local interaction of several simple agents to meet a global goal has a significant impact on MANET routing. In this work, a hybrid routing intelligent algorithm that has an ant colony optimisation (ACO) algorithm and particle swarm optimisation (PSO) is used to improve the various metrics in MANET routing. The ACO algorithm uses mobile agents as ants to identify the most feasible and best path in a network. Additionally, the ACO algorithm helps to locate paths between two nodes in a network and provides input to the PSO technique, which is a metaheuristic approach in SI. The PSO finds the best solution for a particle's position and velocity and minimises cost, power, and end-to-end delay. This hybrid routing intelligent algorithm has an improved performance when compared with the simple ACO algorithm in terms of delay, power consumption, and communication cost. © 2013 Elsevier Ltd. All rights reserved.
Hanumantharao Y.,Andhra Loyola College Autonomous |
Kishore M.,H+ Technology |
Ravindhranath K.,Bapatla Engineering College
Electronic Journal of Environmental, Agricultural and Food Chemistry | Year: 2012
Batch adsorption dynamics and equilibrium studies for the removal of Fluoride ions from aqueous solution using indigenously prepared Acacia farnesiana carbon (AFC), has been carried out under various experimental conditions at room temperature (30±1°C). Results found that percentage removal of Fluoride (F-) ions is increased with the decrease in initial concentration and is increased with increase in contact time initially and after 40-45 minutes, the % removal is found to be almost constant. Adsorption is highly pH sensitive and optimum pH range for appreciable or maximum adsorption of F- ion is found to be 6.5-7, with maximum absorption around 6.9. Adsorption data are modeled with isotherms and the different kinetic equations. Kinetics of adsorption is observed to be second order with intraparticle diffusion as one of the rate determining steps. The interactions of the adsorbent with Fluoride samples are characterized by making surface studies using X-ray Photo Electron Spectroscopy (XPS), Fourier Transform Infrared spectroscopy (FTIR), Scanning Electron Microscope (SEM) and Energy Dispersive Spectrum (EDS) techniques. XPS and SEM-EDS data show evidence for Fluoride sorption on the AFC surface via inner-sphere complexation accompanying increased hydrogen bonding and surface oxidation. Removal of F- ions by indigenously prepared activated carbon, AFC, is found to be effective and hence AFC could be employed as an alternative adsorbent to the Commercial Activated Carbon (CAC) for water treatment for the removal of Fluoride ions.
Acharyulu K.V.L.N.,Bapatla Engineering College |
Pattabhi Ramacharyulu N.C.,National Institute of Technology Warangal
International Journal of Bio-Science and Bio-Technology | Year: 2011
The paper throws light on the investigation of the global stability of a Mathematical model of Mortal Ammensal and an Enemy Ecological Model with Immigration for Ammensal Species at a Constant Rate. It is instituted by Liapunov's stability criteria by constructing a suitable Liapunov's function for appraising the global stability of the model in the case of coexistence equilibrium state.
Sure P.,REVA Institute of Technology and Management |
Bhuma C.M.,Bapatla Engineering College
International Journal of Electronics and Telecommunications | Year: 2014
Massive multi input multi output (MIMO) systems incorporate orthogonal frequency division multiplexing (OFDM) technology to render high data rate services for future wireless communication applications. The channel estimator (CE) employed by a reliable massive MIMO-OFDM system requires huge amount of overhead in the form of known and null data transmissions, hence limiting the system spectral efficiency (SE). Often, CE design is a tradeoff between SE and system reliability. In this paper, CE with three different overhead arrangements, namely time domain synchronous (TDS), comb type with cyclic prefix (CTCP), 2D grid type with cyclic prefix (GTCP) are investigated and a GTCP based CE is proposed which offers both high SE and improved system reliability. The proposed CE uses autocorrelation based denoising threshold for channel impulse response (CIR) estimation and does not require any knowledge of channel statistics (KCS). A 4 × 16 MIMO-OFDM system is simulated in a rayleigh fading channel environment with U-shaped doppler spectrum. From the bit error rate (BER) performance results inWiMax SUI-4, Advanced Television Technology Center (ATTC) and Brazil A channel environments, it is verified that the proposed CE with GTCP overhead and proposed denoising scheme, indeed improves both SE and system reliability. Hence it is suitable for application in all massive MIMO-OFDM systems. Copyright © 2011-2014 by Walter de Gruyter GmbH.
Nancharaiah B.,Jawaharlal Nehru Technological University Anantapur |
Mohan Chandra B.,Bapatla Engineering College
Journal of Theoretical and Applied Information Technology | Year: 2013
In this work, a routing algorithm suitable for Mobile Adhoc Networks is proposed. MANETS are unstable nature when network mobility increases. Path selection process is a critical task in routing algorithms. The proposed work addresses this problem by employing Ant Colony Optimization and Fuzzy logic technques while developing the routing algorithm. The path information by ants will be given to FIS(Fuzzy Interference system) in order to compute the available path's score values, based on this score value from the FIS system the optimal paths will be selected. Hence, the routing problem can be solved more effectively by achieving high successful path delivery rate rather than the conventional routing algorithms. This technique is implemented and the results are compared to the existing algorithms. The performance of the proposed algorithm is assessed using distance, power consumption etc., © 2005 - 2013 JATIT & LLS. All rights reserved.